MuSR
MuSR (Multistep Soft Reasoning) is a benchmark for evaluating language models on multistep soft reasoning tasks specified in natural language narratives. Created through a neurosymbolic synthetic-to-natural generation algorithm, it generates complex reasoning scenarios like murder mysteries roughly 1000 words in length that challenge current LLMs including GPT-4. The benchmark tests chain-of-thought reasoning capabilities across domains involving commonsense reasoning about physical and social situations.
Kimi K2 Instruct from Moonshot AI currently leads the MuSR leaderboard with a score of 0.764 across 2 evaluated AI models.
Kimi K2 Instruct leads with 76.4%, followed by 
Hermes 3 70B at 50.7%.
Progress Over Time
Interactive timeline showing model performance evolution on MuSR
MuSR Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Moonshot AI | 1.0T | 200K | $0.50 / $0.50 | ||
| 2 | Nous Research | 70B | — | — |
FAQ
Common questions about MuSR.
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